Active clinical trials for "Myocardial Infarction"

Recently, more and more studies have confirmed that intestinal flora is closely related to the occurrence and development of cardiovascular diseases.Bile acids (BAS), short chain fatty acids (SCFA) and trimethylamine oxide (TMAO), the main metabolites of intestinal flora, are the key mediators of the interaction between gut and host. We aim to explore the association of BAs and SCFA with cardiac function in patients with AMI.

In a prospective cohort study (n = 1.000), the investigators aim to investigate the correlation between cardiac biomarkers and advanced echocardiography and determine whether these are prognostic markers of heart disease in patients suffering from psoriasis.

Despite a decrease in voltage amplitude in post-infarction scar areas, greater voltage amplitudes are sometimes observed at the time of local extrasystoles mechanically induced by catheters. However, no study has investigated whether these electrical changes are associated with mechanical changes in local contractility. However, the voltage is closely correlated to the local contractile function as evidenced by the use of the NOGA system.

The goal of the study is to assess the prevalence of contrast-associated acute kidney injury in patients with stable coronary artery disease, ST-elevation myocardial infarction and unstable angina/NSTEMI, assess the risk factors of contrast-induced acute kidney injury development and the influence of contrast-induced kidney injury on 1-year prognosis.

This study aims to identify genetic causes of adverse events after cardiac surgery, such as atrial fibrillation, myocardial infarction, renal dysfunction and heart failure. Patients undergoing heart surgery at Brigham and Women's Hospital and Texas Heart Institute are eligible to participate.

The aim of this research is to study the prognostic role of a selected combination of cytokines and adipokines in patients with myocardial infarction, as well as to determine their role in the development of adverse cardiac remodeling.

Acute myocardial infarction (AMI) is one of the most important diseases threatening human life. The existing MI prognosis prediction scales mostly predict the incidence of death, recurrent MI and heart failure through 6-8 clinical text indicators, and the data are collected relatively simply. Myocardial remodeling, as an adverse pathological change that can start and continue to progress in the early stage after myocardial infarction, is the main pathological mechanism of heart failure and death. However, there is no quantitative early-warning model of myocardial remodeling, and the clinical guidance of early intervention is lacking. Our previous study found that cardiac magnetic resonance imaging can accurately quantify the necrotic area and recoverable myocardium in the edematous myocardium after myocardial infarction. In this study, machine learning algorithm, variable convolution network (DCN) and capsule network (capsnet) are used to build a new neural network architecture. Structural feature extraction of multi-modal clinical image data such as MRI and ultrasound is realized. Combined with the established database of 3000 patients with myocardial infarction, the multimodal feature matrix will be constructed, and a variety of classifiers such as support vector machine (SVM) and random forest (RF) will be used for quantitative prediction of myocardial remodeling, and the effects of different classifiers were evaluated. It is expected that this project will establish a quantitative early warning model of myocardial remodeling after acute myocardial infarction in line with the characteristics of Chinese people. The same type of data outside the database will be used for verification to establish an efficient and stable early warning model.

Background:Diabetes and smoking are common factors found to increase platelet reactivity in patients undergoing primary PCI. Objective: Compare the individualized and combined effects of smoking and diabetes on the antiplatelet activity in patients undergoing primary PCI. Methods: sixty patients were recruited in this study. Patients were allocated to one of four groups according to the diabetes and smoking status. Non smokers- non diabetic patients, smokers non diabetic patients, non smokers diabetic patients, and smokers diabetic patients, 15 patients in each group. All patients received 180 mg ticagrelor before PCI. Platelet reactivity index(PRI) and maximum platelet aggregation were measured 24 hours after ticagrelor loading dose for each patient as indicators for antiplatelet efficacy. PRI and/or MPA values > 50% were defined as high platelet reactivity.

Pilot trial to determine diagnostic efficacy of post-reperfusion troponin kinetics in detection of hemorrhagic myocardial infarction

This is an European prospective cohort study from February 2023 until February 2024. The investigators want to analyze the clinical success, efficacy and safety of consecutive patients who presented with ST-elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PCI) for de novo heavily calcified culprit lesion using plaque modification devices before stent implantation.